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  • Upcoming Classes

    Building PI System Assets and Analytics with PI AF (English)
    Aug 01 - Aug 04, 2017 | Perth, Australia

    The Building PI System Assets and Analytics with Asset Framework (AF) class provides a working knowledge of the power of the AF Server, an integral part of the PI System. You will learn to define consistent representations of organizational assets and/or equipment and use these representations in simple or complex analyses that yield critical and actionable information. AF allows an application designer to identify and customize the components or elements that make up a process, associate real-time, relational or calculated data with these elements, specify organizational structure via hierarchies or connectivity relationships, and apply calculations or rules against these assets and determine how results should be displayed.

    In this class we discuss and build basic AF elements and attributes, construct calculations, and configure relational database queries. In a simulated environment, Asset Analytics are used to calculate metric data for the Overall Equipment Effectiveness (OEE). We see how Event Frames are applies to monitor the production process for downtime situations and for process excursions. We explore the visualization of the information with different products of the PI Visualization Suite. In the advanced exercises we discuss combining the various elements to provide users complex information structures. We will build connections to relational databases and use that information in displays and analytics.

    Also covered in detail will be Notifications which allows users to configure custom alarms through a standard user interface based on any data source. Leveraging the generic data access and template-driven capabilities of AF users can redeploy alarm parameters in Notifications to similar assets across the Enterprise. When operational excursions occur, Notifications can send alerts to a single recipient, a group of contacts, or an escalation team that reflects the organization's chain of command.

    The class is four days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

    PI System Administration for IT Professionals (English)
    Aug 01 - Aug 04, 2017 | Houston, USA

    The PI System Administration for IT Professionals class is designed for the Information Technology Professional who is tasked with maintaining the PI System. This class will concentrate on the server side of the PI System, and it will provide you with a working knowledge of the tasks required to maintain a PI System and support the technical needs of its users. It covers the utilities provided with the PI System, as well as tag and system configuration. This class covers common management tasks, understanding the data flow, and troubleshooting procedures.

    The class is four days long. Class starts at 8:30 a.m. and ends at approximately 4:30 p.m. Lunch breaks are at noon each day and last 60 minutes. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

    Visualizing PI System Data (English)
    Aug 01 - Aug 03, 2017 | Philadelphia, USA
    In our Visualizing PI System Data class, you will learn how to use components of the PI Visualization Suite to access and combine your process data with your enterprise data. Learn how to build visually compelling web based dashboards with PI Coresight. We will show you how to use PI ProcessBook, our tool for creating dynamic, interactive graphical displays featuring real-time PI System data, and PI DataLink, our add-in that allows user to access and deliver data to and from Microsoft Excel and create easy-to-read reports. Much of the class time is dedicated to hands-on activities. The class is three days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 20 classroom hours of instruction. No PI Server management, tag building, or VBA scripting is taught in this class.
    Building Advanced Displays with PI ProcessBook Online Course (English)
    Aug 07 - Aug 25, 2017 | Online
    In the Building Advanced Displays with PI ProcessBook online course, you will expand on your knowledge of our popular client tool to interpret your process data in a deeper and more organized way. This follow-up course to the Building Basic Displays with PI ProcessBook online course will cover topics such as creating workbooks, data sets, XY plots, and SQC charts. We will also introduce you to the PI AF Display Builder, and guide you on how you can quickly show your data in an organized format beyond just displaying values.

    Please note that each learner is encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.
    Configuring Analytics with PI AF Online Course (English)
    Aug 07 - Aug 25, 2017 | Online
    In the Configuring Analytics with PI AF online course, students learn the skills needed to configure analyses and notifications using PI Asset Framework. Students will learn to set up Expressions for multi-line calculations, Rollups to aggregate attributes, PI Event Frames to automatically detect events in process data, and PI Notifications to allow for alerts.

    Students will gain knowledge on how to set up analyses for element templates in order to deploy the analyses to individual elements, create tags in PI AF to store calculation results, and configure backfilling of analyses. After the analyses are set up, students learn how to leverage PI client tools such as PI DataLink and PI Coresight to help visualize and understand their analyses. Hands-on exercises and final exercise help to reinforce concepts and skills covered in the video lectures.

    Please note that each learner is encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.
    Programming in PI Web API Online Course (English)
    Aug 07 - Aug 25, 2017 | Online
    Learn the different options and methods for working with the PI Web API including how to make basic requests, use headers, search, and perform application development. Benefit from a hands-on approach, enabling you to learn the material effectively and quickly.

    Through the specific exercises provided in the course, you will learn to perform all of the functions yourself to maximize your ability to learn everything and your instructor will be there to guide you all the way to success.

    Please note that each learner is encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.
    Building PI System Assets and Analytics with PI AF (English)
    Aug 08 - Aug 11, 2017 | Houston, USA

    The Building PI System Assets and Analytics with Asset Framework (AF) class provides a working knowledge of the power of the AF Server, an integral part of the PI System. You will learn to define consistent representations of organizational assets and/or equipment and use these representations in simple or complex analyses that yield critical and actionable information. AF allows an application designer to identify and customize the components or elements that make up a process, associate real-time, relational or calculated data with these elements, specify organizational structure via hierarchies or connectivity relationships, and apply calculations or rules against these assets and determine how results should be displayed.

    In this class we discuss and build basic AF elements and attributes, construct calculations, and configure relational database queries. In a simulated environment, Asset Analytics are used to calculate metric data for the Overall Equipment Effectiveness (OEE). We see how Event Frames are applies to monitor the production process for downtime situations and for process excursions. We explore the visualization of the information with different products of the PI Visualization Suite. In the advanced exercises we discuss combining the various elements to provide users complex information structures. We will build connections to relational databases and use that information in displays and analytics.

    Also covered in detail will be Notifications which allows users to configure custom alarms through a standard user interface based on any data source. Leveraging the generic data access and template-driven capabilities of AF users can redeploy alarm parameters in Notifications to similar assets across the Enterprise. When operational excursions occur, Notifications can send alerts to a single recipient, a group of contacts, or an escalation team that reflects the organization's chain of command.

    The class is four days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

    Building PI System Assets and Analytics with PI AF (Español) (Spanish)
    Aug 08 - Aug 11, 2017 | Ciudad de México, Mexico
    En el curso Building PI System Assets and Analytics with PI AF, usted aprenderá a utilizar el PI Asset Framework. Será posible hacer el modelaje de equipos o estructuras administrativas y después utilizar la información en análisis sencillos o complejos que provean de información crítica y accionable. El PI AF permite que un desarrollador de aplicaciones identifique y modifique elementos que estructuran un proceso industrial, así como asociar datos de tiempo real, relacionados o calculados. También podrá representar atributos, crear jerarquías entre las estructuras y aplicar notificaciones con reglas para hacer alertas de condiciones específicas.
    PI System Administration for IT Professionals (English)
    Aug 08 - Aug 11, 2017 | Philadelphia, USA

    The PI System Administration for IT Professionals class is designed for the Information Technology Professional who is tasked with maintaining the PI System. This class will concentrate on the server side of the PI System, and it will provide you with a working knowledge of the tasks required to maintain a PI System and support the technical needs of its users. It covers the utilities provided with the PI System, as well as tag and system configuration. This class covers common management tasks, understanding the data flow, and troubleshooting procedures.

    The class is four days long. Class starts at 8:30 a.m. and ends at approximately 4:30 p.m. Lunch breaks are at noon each day and last 60 minutes. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

    PI System Architecture, Planning, & Implementation (English)
    Aug 08 - Aug 11, 2017 | San Leandro, USA

    The PI System Architecture, Planning, & Implementation class deals with the issues surrounding the implementation of a PI System. This class will concentrate on the server side of the PI System, and it will provide you with a working knowledge of the installation of both the Data Archive and AF Server. In this class each student will work to successfully install a High Availability PI System, from interface to visualization tools. You will spend valuable time discussing the components and their requirements so you can understand the best way the PI System will fit into your own Enterprise.

    This course requires no previous knowledge of the PI System.

    The class is four days long. Class starts at 8:30 a.m. and ends at 4:30 p.m. Lunch breaks are at 12 p.m. each day and last 60 minutes. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

    Visualizing PI System Data (Português) (Portuguese)
    Aug 08 - Aug 10, 2017 | Sao Paulo, Brazil
    No curso Visualizing PI System Data você aprenderá como utilizar as ferramentas cliente para acessar e combinar seus dados de processo junto com seus dados corporativos. Nós iremos trabalhar com o PI ProcessBook, ferramenta que permite a criação de displays dinâmicos e interativos com dados em tempo real, utilizaremos  os recursos do Microsoft Excel e PI DataLink para criar relatórios dinâmicos.  A maior parte do curso é dedicada a atividades práticas.

    Apesar do curso ser lecionado em Português, o(s) manual(is) do curso se encontra(m) no idioma original em inglês. Em alguns casos podemos oferecer os materiais em português de acordo com a disponibilidade.
     
    Visualizing PI System Data (Partner) (English)
    Aug 09 - Aug 11, 2017 | Online
    In our Visualizing PI System Data class, you will learn how to use components of the PI Visualization Suite to access and combine your process data with your enterprise data. Learn how to build visually compelling web based dashboards with PI Coresight. We will show you how to use PI ProcessBook, our tool for creating dynamic, interactive graphical displays featuring real-time PI System data, and PI DataLink, our add-in that allows user to access and deliver data to and from Microsoft Excel and create easy-to-read reports. Much of the class time is dedicated to hands-on activities. The class is three days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 20 classroom hours of instruction. No PI Server management, tag building, or VBA scripting is taught in this class.
    Configuring a Simple PI System Online Course (English)
    Aug 14 - Sep 01, 2017 | Online
    In this facilitated online course, you will learn the skills needed to configure interfaces and create PI Tags (also known as PI Points) using OSIsoft best practices. You will learn how to install and configure interfaces, create PI Tags, and configure buffering. During this self-paced course, you will also gain exposure on data flow through a simple PI System, connection mechanisms to PI Data Archive, and interface startup process - all of which would assist in troubleshooting. A guided final project will help to reinforce concepts and skills covered in the video lectures.

    This course will leverage a Simple PI System configuration within the OSIsoft Virtual Learning Environment (VLE), virtual machines hosted on Microsoft Azure that you can access remotely. Please note that you need to meet the following system requirements in order to connect to the VLE:
    • Remote Desktop Protocol (RDP) Client
    • Access the domain cloudapp.net where the machines are hosted
    A typical connection string has the form cloudservicename.cloudapp.net:xxxxx, where the cloud service name is specific to a group of virtual machines and xxxxx is a port in the range 41952-65535. Therefore users connecting to Azure virtual machines must be allowed to connect to the domain *.cloudapp.net throughout the port range 41952-65535. Please check your company firewall policies and ensure that you can connect to this domain on the required ports.
    Implementing PI System High Availability Online Course (English)
    Aug 14 - Sep 01, 2017 | Online
    In this facilitated online course, you will deal with topics surrounding the design and implementation of a highly available PI System. It will provide you with a working knowledge of the installation of both the PI Data Archive and PI Interface, as well as how to maximize your PI System through the use of a PI Collective, Interface Failover, and more! During this self-paced course, you will gain exposure to various PI System components and their requirements, allowing you to understand the best way the PI System will fit into your own Enterprise. A final project will also help to reinforce concepts and skills covered in the video lectures.

    This course will leverage a PI System configuration within the OSIsoft Virtual Learning Environment (VLE), virtual machines hosted on Microsoft Azure that you can access remotely. Please note that you need to meet the following system requirements in order to connect to the VLE:
    • Remote Desktop Protocol (RDP) Client
    • Access the domain cloudapp.net where the machines are hosted
    A typical connection string has the form cloudservicename.cloudapp.net:xxxxx, where the cloud service name is specific to a group of virtual machines and xxxxx is a port in the range 41952-65535. Therefore users connecting to Azure virtual machines must be allowed to connect to the domain *.cloudapp.net throughout the port range 41952-65535. Please check your company firewall policies and ensure that you can connect to this domain on the required ports.
    PI System Administration for IT Professionals (English)
    Aug 15 - Aug 18, 2017 | Calgary, Canada

    The PI System Administration for IT Professionals class is designed for the Information Technology Professional who is tasked with maintaining the PI System. This class will concentrate on the server side of the PI System, and it will provide you with a working knowledge of the tasks required to maintain a PI System and support the technical needs of its users. It covers the utilities provided with the PI System, as well as tag and system configuration. This class covers common management tasks, understanding the data flow, and troubleshooting procedures.

    The class is four days long. Class starts at 8:30 a.m. and ends at approximately 4:30 p.m. Lunch breaks are at noon each day and last 60 minutes. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

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